deepo

Why we included this project

Deep learning setups eat hours that should go into actual research, and this project targets that pain directly. It provides ready-made Docker images that bundle the major frameworks such as PyTorch, TensorFlow, Keras, MXNet, and Caffe, with CUDA and cuDNN included, so pulling one image gets you a working GPU environment. For teams that find the all-in-one image too large, the Dockerfile generator works like a set of building blocks: you pick the frameworks, Python version, and CUDA/cuDNN pair, and Deepo resolves compatible versions and installs them in the correct order. CPU-only variants exist too, and the images run on Linux, macOS, and Windows, with GPU acceleration on Linux. That gives a single reproducible way to hand every developer the same stack, which is worth it for anyone standardizing ML environments.